code: def plants_margin(
      folder: str,
      shots: int,
      ways: int,
      shuffle: bool = True,
      test_shots: int = None,
      seed: int = None,
      **kwargs,
  ) -> PlantsMargin:
      """
      Wrapper that creates a meta-dataset for the PlantsMargin tabular dataset.
  
      Notes
      --------
      PlantsMargin has 100 classes in total with default splits train/val/test : 70/15/15.
  
      See also
      --------
      `datasets.PlantsMargin` : CombinationMetaDataset for the PlantsMargin dataset.
      """
      return helper_with_default_tabular(
          PlantsMargin,
          folder,
          shots,
          ways,
          shuffle=shuffle,
          test_shots=test_shots,
          seed=seed,
          defaults=None,
          **kwargs,
      )
  
file_path: pytorch-meta/torchmeta/datasets/helpers_tabular.py
imports: import warnings
  from torchmeta.datasets import Letter, PlantsTexture, PlantsShape, PlantsMargin, Bach
  from torchmeta.transforms import Categorical, ClassSplitter
  from torchmeta.transforms.tabular_transforms import NumpyToTorch
label_desc: Use image node_id 5 for calling a global function with example usage: plants_margin(folder, shots, ways, shuffle, test_shots, seed) and returns: helper_with_default_tabular